Faculty of Electrical and Computer Engineering, Shahid Beheshti University, G.C., Tehran, Iran; E-Mails:
Sensors (Basel). 2009;9(8):6385-410. doi: 10.3390/s90806385. Epub 2009 Aug 19.
High-resolution images with wide field of view are important in realizing many applications of wireless multimedia sensor networks. Previous works that generally use multi-tier topology and provide such images by increasing the capabilities of camera sensor nodes lead to an increase in network cost. On the other hand, the resulting energy consumption is a considerable issue that has not been seriously considered in previous works. In this paper, high-resolution images with wide field of view are generated without increasing the total cost of network and with minimum energy dissipation. This is achieved by using image stitching in WMSNs, designing a two-tier network topology with new structure, and proposing a camera selection algorithm. In the proposed two-tier structure, low cost camera sensor nodes are used only in the lower-tier and sensor nodes without camera are considered in the upper-tier which decreases total network cost as much as possible. Also, since a simplified image stitching method is implemented and a new algorithm for selecting active nodes is utilized, energy dissipation in the network is decreased by applying the proposed methods. The results of simulations supported the preceding statements.
高分辨率、大视场的图像对于实现无线多媒体传感器网络的许多应用非常重要。以往的工作通常使用多层拓扑结构，并通过提高摄像机传感器节点的能力来提供这样的图像，从而导致网络成本的增加。另一方面，在以往的工作中，能源消耗是一个尚未得到认真考虑的重要问题。在本文中，通过在 WMSN 中使用图像拼接、设计具有新结构的两层网络拓扑结构以及提出摄像机选择算法，可以在不增加网络总成本的情况下生成高分辨率、大视场的图像，同时将能量消耗降至最低。在所提出的两层结构中，仅在较低层使用低成本的摄像机传感器节点，而在上层则考虑没有摄像机的传感器节点，从而尽可能地降低网络总成本。此外，由于实现了简化的图像拼接方法并采用了新的活动节点选择算法，因此通过应用所提出的方法降低了网络中的能量消耗。模拟结果支持了上述说法。
